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Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM28570
Volume:
8 |
2 |
Feb 2024
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Stress detection has become increasingly crucial in recent years due to its detrimental effects on physical and mental health. Machine learning and deep learning offer powerful tools for analyzing various data modalities and identifying stress-related patterns. This paper provides a comprehensive review of current research on stress detection using multimodal data and deep learning techniques.
KEYWORDS
Publication Date
12/31/45331
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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No funding information available for this research.
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